Small fixs

module3/exo3/exercice.ipynb

@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 97,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 98,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -60,7 +60,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 99,
    "metadata": {
     "scrolled": true
    },
@@ -468,7 +468,7 @@
        "[3173 rows x 2 columns]"
       ]
      },
-     "execution_count": 75,
+     "execution_count": 99,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -487,7 +487,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 100,
    "metadata": {},
    "outputs": [
     {
@@ -526,7 +526,7 @@
        "Index: []"
       ]
      },
-     "execution_count": 76,
+     "execution_count": 100,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -551,7 +551,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 101,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -568,7 +568,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 102,
    "metadata": {
     "scrolled": true
    },
@@ -919,7 +919,7 @@
        "[3173 rows x 1 columns]"
       ]
      },
-     "execution_count": 78,
+     "execution_count": 102,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -940,7 +940,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 103,
    "metadata": {},
    "outputs": [
     {
@@ -998,16 +998,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 104,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7efbd47e9fd0>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7efbd4516ac8>"
       ]
      },
-     "execution_count": 79,
+     "execution_count": 104,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1038,7 +1038,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 105,
    "metadata": {},
    "outputs": [
     {
@@ -1047,7 +1047,7 @@
        "31.942819190992758"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 105,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1072,16 +1072,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 106,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7efbd47d7160>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7efbd4373cc0>"
       ]
      },
-     "execution_count": 80,
+     "execution_count": 106,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1132,25 +1132,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 107,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(3173, 2)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "t = [date.toordinal() for date in sorted_data.index]\n",
     "def transform_input(t):\n",
     "    X = np.reshape(t, newshape=(-1, 1))\n",
     "    X = np.concatenate([X**2, X], axis=1)\n",
-    "    return X\n",
+    "    return X  # [nb_observations, 2]\n",
     "X = transform_input(t)\n",
-    "print(X.shape)  # [nb_observations, 2]\n",
     "c = sorted_data['CO2']\n",
     "\n",
     "reg = LinearRegression().fit(X, c)"
@@ -1165,7 +1156,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 108,
    "metadata": {},
    "outputs": [
     {
@@ -1192,16 +1183,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 109,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7efbd4e56898>]"
+       "[<matplotlib.lines.Line2D at 0x7efbd4344e80>]"
       ]
      },
-     "execution_count": 81,
+     "execution_count": 109,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1237,7 +1228,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 110,
    "metadata": {},
    "outputs": [
     {
@@ -1246,7 +1237,7 @@
        "423.89403068381216"
       ]
      },
-     "execution_count": 74,
+     "execution_count": 110,
      "metadata": {},
      "output_type": "execute_result"
     }